# 7.4 Compute Infrastructure

SEA AI uses a hybrid compute model that blends centralized efficiency with decentralized autonomy.

Infrastructure components:

* Validator Nodes: verify x402 payments and ensure on-chain data integrity.
* Agent Runtime Hosts: execute AI workloads using containerized environments (Docker/K8s-based).
* Inference Pools: GPU clusters optimized for high-throughput LLM and multimodal tasks.
* Task Scheduler: balances latency, cost, and performance using demand-driven routing.

Deployment flexibility:\
Agents can be deployed on self-hosted nodes, SEA AI’s cloud, or community-operated GPU providers —\
creating an open DePIN for AI compute tied to economic incentives.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.seaai.dev/6.-tokenomics-seaai/7.-technical-architecture-and-infrastructure/7.4-compute-infrastructure.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.